Instructions to use halimara/model_sentence_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use halimara/model_sentence_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="halimara/model_sentence_bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("halimara/model_sentence_bert") model = AutoModel.from_pretrained("halimara/model_sentence_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload 0_Transformer/tokenizer_config.json
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Upload 0_Transformer/special_tokens_map.json
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Upload 0_Transformer/sentence_bert_config.json
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Upload 0_Transformer/pytorch_model.bin with git-lfs
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Upload 0_Transformer/config.json
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Ramdani Halimaa58dcbb